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Amazon plans to own the world's product data to keep AI shopping agents on its site

According to a Reuters exclusive from 13 November 2026, Amazon is weighing a database of nearly every product sold anywhere. The aim is to stop AI shopping agents from sending customers to rival retailers.

On 13 November 2026 Reuters published an exclusive about an internal Amazon document. According to the report, the company is considering an initiative that would collect data on virtually every item for sale anywhere in the world, whether or not Amazon stocks it. People familiar with the matter told Reuters that executives worry AI shopping agents could route customers to retailers with more complete product data.

The document describes two data streams. Some brands and retailers would feed product information to Amazon continuously, while Amazon would also gather data on its own by crawling other retailers' websites. Reuters could not establish how the crawling would work or whether Amazon would always ask permission. Amazon told Reuters the document is an outdated brainstorming memo that does not necessarily reflect current plans. So this is a report about an internal proposal, not an announced product.

The story still shows where commerce is heading. When a customer lets an AI assistant pick and compare products, the retailer with the most complete, accurate and machine-readable data wins. Amazon previously sued Perplexity over similar agent access to its site, and that case is reported to be ongoing, which suggests large platforms want to decide for themselves who may work with their data.

What does this mean for a store outside Amazon? The question is less whether Amazon reads your site and more whether the AI agents your customers use can read it correctly. Full specifications, prices, availability, dimensions and compatibility in structured data decide whether an assistant recommends you. A catalogue made of marketing copy is harder for an agent to understand than a competitor's precise attribute table.

What it means for companies

For online stores this comes down to three steps. First, audit the quality of your product data and structured markup; website maintenance and, where needed, a website redesign help here. Second, consider your own assistant that helps shoppers choose directly on your site: AI agents for e-commerce or an AI chatbot for your store. Third, decide how you treat bots on your website. Prahapp, the AI division of Buinsoft Technology in Prague, builds a free working prototype within 3 working days, and if you don't like it, you don't pay.

Sources: Reuters via Yahoo Finance, Reuters via The Star

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